Business Intel Engineer I, FinOps

Amazon is hiring a Business Intel Engineer I, FinOps in Bengaluru, India. Level rates it ; you can apply on Amazon.

Level's read on this job

Level rates this role Little AI ●○○○: aI is not part of the work.
Tools and skills the posting cites include SQL, Excel and Tableau.
Level classifies it as a junior role.
Level lists 20,000+ other open roles at Amazon.

AI in this role

Design, manage, and build data warehouse reporting solutions and analytics dashboards for Finance Operations.

SQLExcelTableauPower BIQuicksight

business-intelligencedata-warehousingetlreportinganalytics

At Amazon, we're working to be the world's most customer-centric company. Driving innovation on behalf of customers is core to our mission. This is an exciting opportunity to join one of the most strategic, impactful, and fastest-growing areas within Amazon.

As a Business Intelligence Engineer, you will be working in one of the world's largest and most complex data warehouse environments. You should have deep experience in the design, creation, management, and business use of large datasets. You should have excellent business and communication skills to be able to work with business owners to develop and define key business questions, and to build data sets that answer those questions. You should be skilled at designing, implementing, and operating stable, scalable, low-cost solutions to flow data from production systems into the data warehouse and into end-user-facing applications. You should be able to work with business customers in understanding the business requirements and implementing reporting solutions.

Key job responsibilities
The successful candidate will need to effectively communicate across all levels and be self-motivated to raise the bar on deriving insights from analytics and identify opportunities to delight the customers. Above all, you should be passionate about bringing large datasets together to answer business questions and drive change.This role will own the production and delivery of a suite of analytics reports and dashboards used by the organization to make key business decisions. This will involve:
- Deliver standardized performance metrics for internal customers and stakeholders
- Provide operational bandwidth to Operations teams to focus on business partnering initiatives
- Partner with the program team in executing defined roadmap of projects
- Provide ad hoc support to operations team for SQL report creation, modification, and optimization
- Debug report issues, unblock workflows, and communicate with other teams and stakeholders by providing regular status updates

Tools used include:
- SQL
- ETL tools (internal)
- Excel
- Tableau
- Power BI
- Quicksight
- Report scheduling tools (internal)

About the team
We're a team that supports Finance Operations - Accounts Payable, Accounts Receivable, Record-to-Report, and Tax Operations by working with product and software development teams to deliver tools and technologies that improve operational efficiency. We identify opportunities to enhance existing tools based on business requirements, build small-scale automation, create reports and dashboards, and provide analytics support. Our team combines subject matter experts with deep operational knowledge and business analysts who translate requirements into practical solutions, making us uniquely positioned to deliver technology-driven improvements that address real business needs.

Why join us - If you enjoy working at the intersection of operations and technology, solving real business problems, and making an impact through automation and analytics, you'll fit right in with our team.

Basic qualifications

- 2+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience with one or more industry analytics visualization tools (e.g. Excel, Tableau, QuickSight, MicroStrategy, PowerBI) and statistical methods (e.g. t-test, Chi-squared)
- Experience with scripting language (e.g., Python, Java, or R)

Preferred qualifications

- Master's degree, or Advanced technical degree
- Knowledge of data modeling and data pipeline design
- Experience with statistical analysis, co-relation analysis

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

How we rate this

Business Intel Engineer I, FinOps at Amazon rates 10 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Key facts

Business Intel Engineer I, FinOps is an open job at Amazon.
Level rates this role AI Level 1 of 4: Little AI.
The role is based in IN, KA, Bengaluru.
The job was posted on September 22, 2026.
Seniority: junior.
Applications are handled by Amazon. Apply on Amazon

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Business IntelligenceData WarehousingETLReportingAnalyticsSQLExcelTableau

Questions you could be asked

Tell me about a project where business intelligence was part of your work. What did you do?
Tell me about a project where data warehousing was part of your work. What did you do?
Tell me about a project where etl was part of your work. What did you do?
Tell me about a project where reporting was part of your work. What did you do?
Tell me about a project where analytics was part of your work. What did you do?

Adapt your resume

List these exact terms on your resume: Business Intelligence, Data Warehousing, ETL, Reporting, and Analytics. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.

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